pr2database
The protist reference database keeps widening past the rRNA gene it was built on.
Comparison · Infra & APIs
sits vs statsExpressions
A side-by-side editorial comparison of sits and statsExpressions — release velocity, themes, recent moves, and the top alternatives to consider.
sits vs statsExpressions: at a glance
What is sits?
An R package for satellite time series just grew a Python API.
sits classifies satellite image time series — building data cubes from cloud archives, training deep learning models on them, and producing land-cover maps. The releases here are dense feature lists in a steady 1.5.x line, and two themes recur in every one: more source collections wired in, and more of the classification pipeline made parallel or chunked. Version 1.5.3 added pysits, a Python API onto the same engine.
What is statsExpressions?
A statistics backend whose release history is mostly other people's weather
statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.
sits vs statsExpressions: editorial side-by-side
sits
0.0INFRA · APIS
An R package for satellite time series just grew a Python API.
◆ Current state
sits classifies satellite image time series — building data cubes from cloud archives, training deep learning models on them, and producing land-cover maps. The releases here are dense feature lists in a steady 1.5.x line, and two themes recur in every one: more source collections wired in, and more of the classification pipeline made parallel or chunked. Version 1.5.3 added pysits, a Python API onto the same engine.
◆ Where it's heading
The package is positioning itself as the interface layer to Earth observation archives rather than as an algorithm library. Each release absorbs another provider — Planetary Computer, Digital Earth Africa and Australia, CDSE, TERRASCOPE, Open Geo Hub, PLANET — so the differentiator is coverage and the uniform cube abstraction over it. The Python API extends the same logic to the language most of that community actually works in. Alongside, the work is increasingly about scale: chunk parallelisation, multicores sampling, GPU classification, WebGL rendering.
◆ Prediction
With collections still being added release over release, expect more providers and continued performance work on the classification and regularisation paths. The open question the entries do not answer is how far pysits tracks the R API, since it appears once and is not mentioned again in later releases.
statsExpressions
0.0INFRA · APIS
A statistics backend whose release history is mostly other people's weather
◆ Current state
statsExpressions produces the tidy dataframes and plotmath expressions that ggstatsplot prints onto plots, and that position defines its changelog. Six of its ten most recent versions exist to absorb API changes in easystats, dplyr or purrr. Version 2.0.0 is the exception, cut to accompany ggstatsplot's own 1.0.0 and carrying pairwise Fisher's exact post hocs for contingency tables.
◆ Where it's heading
This is a component settling into place beneath a larger package rather than a product with its own roadmap. New statistical content arrives rarely and narrowly — an exact-p toggle, one post-hoc function — while the recurring work is keeping expressions correct as the easystats stack shifts underneath. The one bug class it keeps returning to is rendering: p-values of exactly zero, decimal commas that plotmath parses as list separators.
◆ Prediction
Coupled this tightly, the next release is most likely another compatibility pass timed to an easystats or ggstatsplot version rather than new tests. Nothing in these entries signals an independent feature direction.
Alternatives to sits and statsExpressions
Other Infra & APIs products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either sits or statsExpressions.
ggalign
Composable aligned layouts, rebuilt on S7 while ggplot2 4.0 lands underneath.
prioritizr
Conservation planning absorbs the literature's target-setting rules as code.
jSDM
Joint species distribution models in Gibbs-sampled C++, quiet since 2023.
rsofun
An ecosystem model starts tracking carbon isotopes and land-use change.
usmap
Ten years in, US mapping splits its data out and finally adds Puerto Rico.
See all sits alternatives → · See all statsExpressions alternatives →
Recent activity from sits and statsExpressions
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 3mo agostatsExpressionsPairwise Fisher's post hocs for contingency tables
- 4mo agostatsExpressionsInternal maintenance only, no user-facing changes
- 6mo agostatsExpressionsAdapts to dplyr 1.2.0 and purrr 1.2.1
- 6mo agostatsExpressionsAdapts to changes in the easystats packages
- 7mo agositsSNIC segmentation, imputation helpers and QGIS palette export
- 8mo agositsOne-line hotfix for a CRAN compiler requirement
- 11mo agositsHotfix: TAE embeddings, MPC token handling, texture divide-by-zero
- 11mo agositsA Python API arrives, alongside SAR texture measures ⚡
- 1y agostatsExpressionsFixes p-value rendering when p is exactly zero
- 1y agostatsExpressionscentrality_description() follows the new easystats API
- 1y agositsExclusion masks, multiple tiling systems and faster segment classification
- 1y agositsFour more archives wired in, including Digital Earth Africa
Frequently asked questions
What is the difference between sits and statsExpressions?
They serve adjacent needs but don't currently overlap on shipped themes. sits and statsExpressions are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is sits better than statsExpressions?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. sits and statsExpressions are shipping at a similar cadence (velocity 0.0 vs 0.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Infra & APIs products to evaluate alongside.
What are the best alternatives to sits?
Top sits alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "sits alternatives" section above for the current picks, or visit /alternatives/sits for the full list with editorial commentary on each.
What are the best alternatives to statsExpressions?
Top statsExpressions alternatives in Infra & APIs are ranked by recent ship velocity. Browse the "statsExpressions alternatives" section above for the current picks, or visit /alternatives/statsexpressions for the full list with editorial commentary on each.